The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

: Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A3-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A

TCGA RNA samplesi

RNA-seq data is reported as median FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average FPKM

3.4

Number of samples

153

Samples

Sample

Description

FPKM

TCGA-14-0789-01A

54 years, male, white, dead, 342 days

10.7

TCGA-06-1804-01A

81 years, female, white, dead, 414 days

10.4

TCGA-28-2514-01A

45 years, male, asian, alive, 160 days

10.0

TCGA-12-3653-01A

34 years, female, white, dead, 442 days

9.2

TCGA-32-2615-01A

62 years, male, white, dead, 485 days

8.2

TCGA-41-2572-01A

67 years, male, white, dead, 406 days

8.1

TCGA-06-2565-01A

59 years, male, asian, dead, 506 days

7.8

TCGA-06-0745-01A

59 years, male, white, dead, 239 days

6.6

TCGA-28-2513-01A

69 years, female, white, alive, 222 days

6.5

TCGA-27-2528-01A

62 years, male, white, dead, 480 days

6.3

TCGA-32-2638-01A

67 years, male, white, dead, 766 days

6.3

TCGA-32-1980-01A

72 years, male, white, dead, 36 days

6.2

TCGA-28-2499-01A

59 years, male, white, dead, 95 days

6.1

TCGA-06-5408-01A

54 years, female, white, dead, 357 days

6.0

TCGA-06-2561-01A

53 years, female, white, dead, 537 days

5.8

TCGA-19-2620-01A

70 years, male, white, dead, 148 days

5.6

TCGA-32-2634-01A

82 years, male, white, alive, 693 days

5.6

TCGA-16-1045-01B

49 years, female, white, dead, 883 days

5.6

TCGA-06-0882-01A

30 years, male, white, dead, 632 days

5.4

TCGA-19-1787-01B

49 years, male, white, dead, 385 days

5.4

TCGA-06-0125-01A

63 years, female, white, dead, 1448 days

5.3

TCGA-06-0132-01A

49 years, male, white, dead, 771 days

5.2

TCGA-27-1834-01A

56 years, male, white, dead, 1233 days

5.2

TCGA-06-0141-01A

62 years, male, white, dead, 313 days

5.2

TCGA-06-0211-01B

47 years, male, white, dead, 360 days

5.2

TCGA-06-0878-01A

74 years, male, white, alive, 218 days

5.0

TCGA-27-2523-01A

63 years, male, white, dead, 489 days

4.9

TCGA-06-5416-01A

23 years, female, white, alive, 204 days

4.9

TCGA-19-2619-01A

55 years, female, black or african american, alive, 294 days

4.9

TCGA-76-4931-01A

70 years, female, white, dead, 279 days

4.8

TCGA-06-5411-01A

51 years, male, white, dead, 254 days

4.7

TCGA-06-0187-01A

69 years, male, white, dead, 828 days

4.7

TCGA-06-0156-01A

57 years, male, white, dead, 178 days

4.7

TCGA-14-0871-01A

75 years, female, white, dead, 880 days

4.6

TCGA-02-2486-01A

64 years, male, white, dead, 618 days

4.5

TCGA-06-5414-01A

61 years, male, white, alive, 273 days

4.5

TCGA-41-4097-01A

63 years, female, white, dead, 6 days

4.4

TCGA-28-5208-01A

52 years, male, white, dead, 544 days

4.4

TCGA-12-1597-01B

62 years, female, white, dead, 675 days

4.4

TCGA-06-0749-01A

50 years, male, black or african american, dead, 82 days

4.4

TCGA-26-5139-01A

65 years, female, white, alive, 48 days

4.4

TCGA-06-0743-01A

69 years, male, white, dead, 803 days

4.3

TCGA-19-1390-01A

63 years, female, white, dead, 772 days

4.3

TCGA-12-3652-01A

60 years, male, white, dead, 1062 days

4.3

TCGA-06-0168-01A

59 years, female, white, dead, 598 days

4.1

TCGA-06-2562-01A

81 years, male, white, dead, 382 days

4.1

TCGA-06-0750-01A

43 years, male, white, dead, 28 days

4.1

TCGA-41-2571-01A

89 years, male, white, dead, 26 days

4.0

TCGA-28-5209-01A

66 years, female, white, alive, 77 days

4.0

TCGA-06-5859-01A

63 years, male, white, alive, 139 days

4.0

TCGA-06-2558-01A

75 years, female, white, dead, 380 days

4.0

TCGA-06-0744-01A

67 years, male, white, dead, 1426 days

4.0

TCGA-12-0619-01A

60 years, male, white, dead, 1062 days

4.0

TCGA-15-1444-01A

21 years, male, white, dead, 1537 days

3.9

TCGA-32-1970-01A

59 years, male, white, dead, 468 days

3.9

TCGA-28-1753-01A

53 years, male, white, alive, 37 days

3.9

TCGA-28-5204-01A

72 years, male, white, dead, 454 days

3.9

TCGA-06-2557-01A

76 years, male, black or african american, dead, 33 days

3.8

TCGA-41-5651-01A

59 years, female, black or african american, dead, 460 days

3.8

TCGA-06-0139-01A

40 years, male, white, dead, 362 days

3.7

TCGA-06-5412-01A

78 years, female, white, dead, 138 days

3.6

TCGA-06-0649-01B

73 years, female, black or african american, dead, 64 days

3.6

TCGA-06-2563-01A

72 years, female, white, alive, 932 days

3.6

TCGA-14-1825-01A

70 years, male, white, dead, 232 days

3.5

TCGA-06-0190-01A

62 years, male, white, dead, 317 days

3.5

TCGA-02-0055-01A

62 years, female, white, dead, 76 days

3.5

TCGA-19-2629-01A

60 years, male, white, dead, 737 days

3.5

TCGA-27-1830-01A

57 years, male, white, dead, 154 days

3.4

TCGA-06-5410-01A

72 years, female, white, dead, 108 days

3.4

TCGA-06-0645-01A

56 years, female, white, dead, 175 days

3.4

TCGA-28-5218-01A

63 years, male, white, dead, 157 days

3.4

TCGA-06-0646-01A

61 years, male, white, dead, 175 days

3.3

TCGA-76-4925-01A

76 years, male, white, dead, 146 days

3.3

TCGA-27-1832-01A

59 years, female, white, dead, 300 days

3.3

TCGA-12-0618-01A

49 years, male, white, dead, 395 days

3.3

TCGA-76-4926-01B

68 years, male, white, dead, 138 days

3.1

TCGA-14-2554-01A

52 years, female, white, dead, 532 days

3.1

TCGA-26-5135-01A

72 years, female, white, dead, 270 days

3.1

TCGA-26-1442-01A

43 years, male, white, alive, 953 days

3.1

TCGA-28-5213-01A

72 years, male, white, alive, 951 days

3.0

TCGA-32-2632-01A

80 years, male, white, dead, 269 days

3.0

TCGA-02-0047-01A

78 years, male, white, dead, 448 days

3.0

TCGA-12-3650-01A

46 years, male, white, dead, 333 days

3.0

TCGA-06-5418-01A

75 years, female, white, dead, 83 days

3.0

TCGA-06-0644-01A

71 years, male, black or african american, dead, 384 days

3.0

TCGA-26-5132-01A

74 years, male, white, alive, 286 days

2.9

TCGA-19-2624-01A

51 years, male, white, dead, 5 days

2.9

TCGA-76-4932-01A

50 years, female, white, dead, 1458 days

2.8

TCGA-14-0817-01A

69 years, female, white, dead, 164 days

2.8

TCGA-32-1982-01A

76 years, female, white, dead, 142 days

2.8

TCGA-12-5295-01A

60 years, female, white, dead, 454 days

2.8

TCGA-06-5856-01A

58 years, male, white, dead, 114 days

2.8

TCGA-06-0158-01A

73 years, male, white, dead, 329 days

2.7

TCGA-16-0846-01A

85 years, male, white, dead, 119 days

2.7

TCGA-14-0790-01B

64 years, female, white, dead, 419 days

2.7

TCGA-28-5215-01A

62 years, female, white, dead, 335 days

2.7

TCGA-02-2483-01A

43 years, male, asian, alive, 466 days

2.6

TCGA-06-5413-01A

67 years, male, white, alive, 268 days

2.6

TCGA-14-0781-01B

49 years, male, black or african american, dead, 29 days

2.6

TCGA-06-0747-01A

53 years, male, white, dead, 82 days

2.5

TCGA-08-0386-01A

74 years, male, white, dead, 548 days

2.5

TCGA-06-0686-01A

53 years, male, white, dead, 432 days

2.5

TCGA-06-0238-01A

46 years, male, white, dead, 405 days

2.4

TCGA-27-2524-01A

56 years, male, white, dead, 231 days

2.4

TCGA-27-1837-01A

36 years, male, white, dead, 427 days

2.4

TCGA-27-2521-01A

34 years, male, white, dead, 510 days

2.4

TCGA-06-0184-01A

63 years, male, white, dead, 2126 days

2.4

TCGA-76-4929-01A

76 years, female, white, dead, 111 days

2.4

TCGA-06-0210-01A

72 years, female, white, dead, 225 days

2.4

TCGA-28-5207-01A

71 years, male, white, dead, 343 days

2.4

TCGA-12-0821-01A

62 years, male, white, dead, 323 days

2.3

TCGA-15-0742-01A

65 years, male, white, dead, 419 days

2.3

TCGA-06-0130-01A

54 years, male, white, dead, 394 days

2.3

TCGA-06-0157-01A

63 years, female, white, dead, 97 days

2.3

TCGA-06-2567-01A

65 years, male, white, dead, 133 days

2.2

TCGA-06-2570-01A

21 years, female, white, alive, 958 days

2.2

TCGA-41-3915-01A

48 years, male, white, dead, 360 days

2.2

TCGA-12-5299-01A

56 years, female, white, dead, 98 days

2.2

TCGA-27-2519-01A

48 years, male, white, dead, 550 days

2.1

TCGA-28-1747-01C

44 years, male, white, dead, 77 days

2.1

TCGA-28-2509-01A

77 years, female, white, alive, 145 days

2.0

TCGA-32-4213-01A

47 years, female, white, alive, 604 days

2.0

TCGA-76-4928-01B

85 years, female, white, dead, 94 days

1.9

TCGA-76-4927-01A

58 years, male, white, dead, 535 days

1.9

TCGA-06-2559-01A

83 years, male, white, dead, 150 days

1.9

TCGA-06-0178-01A

39 years, male, white, dead, 2681 days

1.9

TCGA-19-4065-01A

36 years, male, white, alive, 214 days

1.9

TCGA-14-1829-01A

57 years, male, black or african american, alive, 218 days

1.7

TCGA-06-0174-01A

54 years, male, white, dead, 98 days

1.7

TCGA-06-0219-01A

67 years, male, white, dead, 22 days

1.6

TCGA-14-1034-01A

60 years, female, dead, 485 days

1.6

TCGA-12-0616-01A

36 years, female, white, dead, 448 days

1.6

TCGA-14-1823-01A

58 years, female, white, dead, 543 days

1.6

TCGA-06-5858-01A

45 years, female, white, alive, 187 days

1.5

TCGA-06-0129-01A

30 years, male, asian, dead, 1024 days

1.5

TCGA-26-5136-01B

78 years, female, white, dead, 577 days

1.5

TCGA-14-0787-01A

69 years, male, asian, dead, 68 days

1.5

TCGA-06-0138-01A

43 years, male, white, dead, 737 days

1.4

TCGA-32-2616-01A

48 years, female, white, dead, 224 days

1.3

TCGA-26-5133-01A

59 years, male, white, alive, 452 days

1.3

TCGA-19-5960-01A

56 years, male, white, dead, 455 days

1.2

TCGA-02-2485-01A

53 years, male, black or african american, alive, 470 days

1.2

TCGA-06-2564-01A

50 years, male, white, alive, 181 days

1.1

TCGA-27-1835-01A

53 years, female, white, dead, 648 days

1.1

TCGA-32-5222-01A

66 years, male, white, dead, 585 days

1.1

TCGA-26-5134-01A

74 years, male, white, alive, 167 days

1.1

TCGA-28-5216-01A

52 years, male, white, alive, 415 days

1.0

TCGA-27-2526-01A

79 years, female, white, dead, 87 days

0.8

TCGA-28-5220-01A

67 years, male, white, dead, 388 days

0.8

TCGA-06-5417-01A

45 years, female, white, alive, 155 days

0.8

TCGA-19-2625-01A

76 years, female, white, dead, 124 days

0.5

TCGA-27-1831-01A

66 years, male, white, dead, 505 days

0.5

TCGA-06-2569-01A

24 years, female, black or african american, alive, 13 days

0.4

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GLIOMA - Protein expressioni

A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.

Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.

Antibody stainingi

Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high. This score is based on the staining intensity and fraction of stained cells.